new york county health rankings

8/14/2019 New York county health rankings

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2010New York


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County Health Rankings: 2010 New York

www.countyhealthrankings.org/new-york 1

Introduction

Where we live matters to our health. The health of a

community depends on many different factors, including

quality of health care, individual behavior, education and

jobs, and the environment. We can improve a

communitys health through programs and policies. For

example, people who live in communities with ample

park and recreation space are more likely to exercise,which reduces heart disease risk. People who live in

communities with smoke-free laws are less likely to

smoke or to be exposed to second-hand smoke, which

reduces lung cancer risk.

The problem is that there are big differences in health

across communities, with some places being much

healthier than others. And up to now, it has been hard to

get a standard way to measure how healthy a county is

and see where they can improve.

The Robert Wood Johnson Foundation and the

University of Wisconsin Population Health Institute arepleased to present the 2010 County Health Rankings, a

collection of 50 reports that reflect the overall health of

counties in every state across the country. For the first

time, counties can get a snapshot of how healthy their

reisidents are by comparing their overall health and the

factors that influence their health, with other counties in

their state. This will allow them to see county-to-county

where they are doing well and where they need to

improve. Everyone has a stake in community health. We

all need to work together to find solutions. The County

Health Rankingsserve as both a call to action and a

needed tool in this effort.

All of the County Health Rankingsare based upon this

model of population health improvement:

In this model, health outcomes are measures that

describe the current health status of a county. These

health outcomes are influenced by a set of health factors.

These health factors and their outcomes may also be

affected by community-based programs and policies

designed to alter their distribution in the community.

Counties can improve health outcomes by addressing allhealth factors with effective, evidence-based programs

and policies.

Institute of Medicine, 2002

To compile the Rankings, we built on our prior work in

Wisconsin, worked closely with staff from the Centers for

Disease Control and Prevention and Dartmouth College,

and obtained input from a team of expert advisors.

Together we selected a number of population health

measures based on scientific relevance, importance, and

availability of data at the county level. For a more

detailed explanation of the choice of measures, see

www.countyhealthrankings.org.
http://www.countyhealthrankings.org/http://www.countyhealthrankings.org/http://www.countyhealthrankings.org/


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2 www.countyhealthrankings.org/new-york

The Rankings

This report ranks New York counties according to their

summary measures of health outcomes and health

factors, as well as the components used to create each

summary measure. The figure below depicts the

structure of the Rankingsmodel. Counties receive a rank

for each population health component; those having high

ranks (e.g., 1 or 2) are estimated to be the healthiest.

Our summary health outcomes rankings are based on

an equal weighting of mortality and morbidity measures.

The summary health factors rankings are based on

weighted scores of four types of factors: behavioral,

clinical, social and economic, and environmental. The

weights for the factors (shown in parentheses in the

figure) are based upon a review of the literature andexpert input, but represent just one way of combining

these factors.


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Summary Health Outcomes & Health Factors Rankings

Counties receive two summary ranks:

Health Outcomes Health Factors

Each of these ranks represents a weighted summary of a

number of measures.

Health outcomes represent how healthy a county is while

health factors are what influences the health of the

county.

Rank Health Outcomes Rank Health Factors

1 Putnam 1 Nassau

2 Saratoga 2 Westchester

3 Tompkins 3 Tompkins

4 Livingston 4 Rockland

5 Ontario 5 Saratoga

6 Nassau 6 Putnam

7 Schuyler 7 Ontario

8 Rockland 8 Suffolk

9 Westchester 9 New York10 Yates 10 Dutchess

11 Dutchess 11 Schenectady

12 Wyoming 12 Albany

13 Essex 13 Richmond

14 Warren 14 Tioga

15 Tioga 15 Otsego

16 Hamilton 16 Queens

17 Orleans 17 Monroe

18 Suffolk 18 Hamilton

19 Lewis 19 Warren

20 Schoharie 20 Livingston

21 Orange 21 Onondaga

22 Queens 22 Yates

23 Madison 23 Columbia

24 Otsego 24 Wyoming

25 Genesee 25 Madison

26 Seneca 26 Broome

27 Albany 27 Wayne

28 Wayne 28 Erie

29 Jefferson 29 Oneida

30 New York 30 Ulster

31 Monroe 31 Essex

32 Montgomery 32 Rensselaer

33 Ulster 33 Orange

34 Richmond 34 Schoharie

35 Rensselaer 35 Genesee

36 Clinton 36 Washington

37 Schenectady 37 Clinton

38 Onondaga 38 Chenango

39 Delaware 39 Greene

40 Broome 40 Schuyler


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Rank Health Outcomes Rank Health Factors

41 Herkimer 41 Cortland

42 Chautauqua 42 Seneca

43 Chenango 43 Herkimer

44 Washington 44 Cayuga

45 Columbia 45 Chemung

46 Oswego 46 Allegany

47 Fulton 47 Lewis

48 Steuben 48 Delaware

49 Cayuga 49 Chautauqua

50 Franklin 50 Franklin

51 St. Lawrence 51 Kings

52 Allegany 52 Steuben

53 Cortland 53 Orleans

54 Oneida 54 Niagara55 Erie 55 Fulton

56 Cattaraugus 56 Cattaraugus

57 Niagara 57 Montgomery

58 Kings 58 Sullivan

59 Greene 59 St. Lawrence

60 Chemung 60 Oswego

61 Sullivan 61 Jefferson

62 Bronx 62 Bronx


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Health Outcomes Rankings

The summary health outcomes ranking is based on

measures of mortality and morbidity. Each countys ranks

for mortality and morbidity are displayed here. The

mortality rank, representing length of life, is based on a

measure of premature death: the years of potential life

lost prior to age 75.

The morbidity rank is based on measures that represent

health-related quality of life and birth outcomes. We

combine four morbidity measures: self-reported fair or

poor health, poor physical health days, poor mental

health days, and the percent of births with low

birthweight.

Rank Mortality Rank Morbidity

1 Nassau 1 Ontario

2 Tompkins 2 Livingston

3 Putnam 3 Wyoming

3 Westchester 4 Essex

5 Rockland 5 Yates

6 Saratoga 6 Putnam

7 Schuyler 7 Warren

8 Queens 8 Lewis

9 Tioga 9 Saratoga10 Hamilton 10 Schoharie

11 Orleans 11 Dutchess

12 Livingston 12 Montgomery

13 New York 13 Schuyler

14 Ontario 14 Tompkins

15 Dutchess 15 Rockland

16 Yates 16 Columbia

17 Suffolk 17 Nassau

18 Otsego 18 Albany

19 Madison 19 Delaware

20 Orange 20 Wayne

21 Warren 21 Seneca

22 Essex 22 Genesee

23 Richmond 23 Schenectady

24 Wyoming 24 Orange

25 Genesee 25 Suffolk

26 Monroe 26 Jefferson

27 Seneca 27 Herkimer

28 Clinton 28 Westchester

29 Schoharie 29 Greene

30 Onondaga 30 Hamilton

31 Rensselaer 31 Tioga

32 Ulster 32 Washington

33 Jefferson 33 Ulster

34 Wayne 34 Madison

35 Chautauqua 35 Chenango

36 Albany 36 Broome

37 Chemung 37 Otsego

38 Lewis 38 Orleans

39 Cayuga 39 Rensselaer

40 Franklin 40 St. Lawrence


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Rank Mortality Rank Morbidity

41 Broome 41 Cattaraugus

42 Steuben 42 Monroe

43 Chenango 43 Oswego

44 Schenectady 44 Allegany

45 Delaware 45 Clinton

46 Washington 46 Fulton

47 Oneida 47 Onondaga

48 Fulton 48 Cortland

49 Herkimer 49 Sullivan

50 Oswego 50 Chautauqua

51 Montgomery 51 Richmond

52 Kings 52 Steuben

53 Cortland 53 Queens

54 Allegany 54 Erie55 Niagara 55 Franklin

56 Erie 56 Cayuga

57 St. Lawrence 57 New York

58 Columbia 58 Oneida

59 Cattaraugus 59 Niagara

60 Greene 60 Kings

61 Bronx 61 Chemung

62 Sullivan 62 Bronx


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Health Factors Rankings

The summary health factors ranking is based on four

factors: health behaviors, clinical care, social and

economic, and physical environment factors. In turn,

each of these factors is based on several measures.

Health behaviors include measures of smoking, diet and

exercise, alcohol use, and risky sex behavior. Clinical

care includes measures of access to care and quality of

care. Social and economic factors include measures of

education, employment, income, family and social

support, and community safety. The physical

environment includes measures of environmental quality

and the built environment.

Rank Health Behaviors Clinical CareSocial & Economic

FactorsPhysical

Environment

1 Westchester Monroe Putnam Wayne

2 New York Onondaga Nassau Chenango

3 Nassau Schenectady Saratoga Herkimer

4 Rockland Albany Tompkins Steuben

5 Tompkins Erie Suffolk Tioga

6 Queens Saratoga Rockland Tompkins

7 Putnam Nassau Westchester Ontario

8 Essex Westchester Ontario Cayuga

9 Suffolk New York Dutchess Allegany

10 Dutchess Broome Hamilton Chemung

11 Ontario Rockland Tioga Madison

12 Kings Warren Livingston Lewis

13 Otsego Richmond Ulster Broome

14 Saratoga Ontario Madison Otsego

15 Yates Chautauqua Orange Cattaraugus

16 Schoharie Seneca Albany Seneca

17 Richmond Tioga Columbia Genesee

18 Wyoming Montgomery Otsego Onondaga

19 Hamilton Chemung Yates Cortland

20 Oneida Greene Genesee Oswego

21 Schuyler Madison Wyoming Washington22 Albany Dutchess Warren Wyoming

23 Schenectady Livingston Richmond St. Lawrence

24 Franklin Suffolk Schenectady Dutchess

25 Herkimer Wayne Washington Oneida

26 Erie Rensselaer Rensselaer Montgomery

27 Columbia Chenango Broome Livingston

28 Greene Ulster Wayne Fulton

29 Clinton Oneida Monroe Rockland

30 Warren Yates Seneca Schuyler

31 Delaware Columbia Queens Orleans

32 Cortland Lewis Essex Nassau

33 Onondaga Tompkins Onondaga Schenectady

34 Livingston Niagara Chautauqua Schoharie

35 Chenango Steuben Cayuga Kings

36 Monroe Fulton Delaware Queens

37 Tioga Jefferson Clinton Bronx

38 Orange Washington Allegany Clinton

39 Bronx Franklin New York Greene

40 Rensselaer Otsego Herkimer Westchester


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Rank Health Behaviors Clinical CareSocial & Economic

FactorsPhysical

Environment

41 Chemung Clinton Steuben Saratoga

42 Broome Cortland Schoharie Delaware

43 Genesee Cayuga Oneida Rensselaer

44 Ulster Putnam Erie Hamilton

45 Allegany Hamilton Cortland Warren

46 Wayne Allegany Schuyler Richmond

47 Madison Schoharie Lewis Jefferson

48 Cayuga Queens Orleans Columbia

49 Lewis Kings Niagara Monroe

50 Sullivan Orange Cattaraugus Franklin

51 Orleans Schuyler Greene Sullivan

52 Niagara Essex Chemung Orange

53 Washington Wyoming Chenango Ulster

54 Fulton Genesee Oswego Putnam55 Chautauqua Cattaraugus Jefferson Chautauqua

56 St. Lawrence Sullivan St. Lawrence Erie

57 Seneca Orleans Fulton Albany

58 Cattaraugus Delaware Franklin Suffolk

59 Montgomery Bronx Sullivan New York

60 Steuben St. Lawrence Montgomery Yates

61 Oswego Oswego Kings Niagara

62 Jefferson Herkimer Bronx Essex


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2010 County Health Rankings: Measures, Data Sources, and Years of Data

Measure Data Source Years of Data

HEALTH OUTCOMES

Mortality Premature death (Years ofPotential Life Lost)

National Center for Health Statistics 2004-2006

Morbidity Self-reported health status Behavioral Risk Factor Surveillance System 2002-2008

Poor physical health days Behavioral Risk Factor Surveillance System 2002-2008

Poor mental health days Behavioral Risk Factor Surveillance System 2002-2008

Low birthweight National Center for Health Statistics 2000-2006

HEALTH FACTORS

HEALTH BEHAVIORS

Tobacco Adult smoking Behavioral Risk Factor Surveillance System 2002-2008

Diet and Exercise Adult obesity National Center for Chronic DiseasePrevention and Health Promotion

2006-2008

Alcohol Use Binge drinking Behavioral Risk Factor Surveillance System 2002-2008

Motor vehicle death rate National Center for Health Statistics 2000-2006

High Risk SexualBehavior

Teen births National Center for Health Statistics 2000-2006

Chlamydia rate National Center for Health Statistics 2006

CLINICAL CAREAccess to Care Uninsured adults Small Area Health Insurance Estimates,

U.S. Census 2005

Primary care providersHealth Resources & ServicesAdministration

2006

Quality of Care Preventable hospital stays Medicare/Dartmouth Institute 2005-2006

Diabetic screening Medicare/Dartmouth Institute 2003-2006

Hospice use Medicare/Dartmouth Institute 2001-2005

SOCIOECONOMIC FACTORS

Education High school graduation National Center for Education Statistics1 2005-2006

College graduates U.S. Census/American Community Survey 2000/2005-2007

Employment Unemployment rate Bureau of Labor Statistics 2008

Income Children in poverty Small Area Income and Poverty Estimates,U.S. Census

2007

Income inequality U.S. Census/American Community Survey2

2000/2005-2007

Family and SocialSupport

Social/emotional support Behavioral Risk Factor Surveillance System 2005-2008

Single-parent households U.S. Census/American Community Survey 2000/2005-2007

Community Safety Violent crime3 Uniform Crime Reporting, Federal Bureau

of Investigation2005-2007

PHYSICAL ENVIRONMENT

Air Quality4 Unhealthy air due to ozone U.S. Environmental Protection Agency /

Centers for Disease Control and Prevention2005

Unhealthy air due to particulatematter

U.S. Environmental Protection Agency /Centers for Disease Control and Prevention

2005

Built Environment Access to healthy foods Census Zip Code Business Patterns 2006Liquor stores Census County Business Patterns 2006

1 State data sources for KY, NH, NC, PA, SC, and UT (2007-2008).2 Income inequality estimates for 2000 were calculated by Mark L. Burkey, North Carolina Agricultural & Technical State

University, www.ncat.edu/~burkeym/Gini.htm.3 Homicide rate (2000-2006) from National Center for Health Statistics for AK, AZ, AR, CO, CT, GA, ID, IN, IA, KS, KY, LA,

MN, MS, MT, NE, NH, NM, NC, ND, OH, SD, UT, and WV. State data source for IL.4 Not available for AK and HI.


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CREDITS

Report EditorsUniversity of Wisconsin-MadisonSchool of Medicine and Public HealthPopulation Health InstituteBridget Booske, PhD, MHSAJessica Athens, MSPatrick Remington, MD, MPH

This publication would not have been possible without the following contributions:

Conceptual DevelopmentDavid Kindig, MD, PhDPaul Peppard, PhDPatrick Remington, MD, MPH

Technical AdvisorsAmy Bernstein, ScD, Centers for Disease Control and PreventionMichele Bohm, MPH, Centers for Disease Control and PreventionVickie Boothe, MPH, Centers for Disease Control and PreventionEthan Burke, MD, MPH, Dartmouth Institute for Health Policy and Clinical Practice

Research AssistanceClare OConnorKaren OdegaardHyojun ParkMatthew Rodock

Production and EditingChuck AlexanderAlex FieldJoan FischerIrene GolembiewskiJennifer Robinson

DesignForum One, Alexandria, VAMedia Solutions, UW School of Medicine and Public Health

Metrics Advisory GroupYukiko Asada, PhD, Associate Professor, Community Health and Epidemiology, Dalhousie University, Halifax, Nova ScotiaTom Eckstein, MBA, Principal, Arundel Street Consulting Inc, Minneapolis, MNElliott Fisher, MD, MPH, Director, Center for Population Health, Dartmouth Institute for Health Policy and Clinical Practice, and

Professor of Medicine and Community and Family Medicine, Dartmouth Medical School, Lebanon, NH.Howard Frumkin, MD, MPH, Dr. PH, Director of the National Center for Environmental Health, ATSDR, CDC, Atlanta, GAThomas Kottke, MD, MSPH, Medical Director for Evidence-Based Health, HealthPartners, Minneapolis, MNAli Mokdad, PhD, Professor of Global Health, Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA.Roy Gibson Parrish, MD, Consultant in Population Health Information Systems, Peacham, VT

Robert M. (Bobby) Pestronk, MPH, Executive Director, National Association of County and City Health Officials (NACCHO),Washington DC.

Tom Ricketts, PhD, Professor of Health Policy and Administration, University of North CarolinaSteven Teutsch, MD, MPH, Chief Science Officer, Los Angeles County Public Health, Los Angeles, CA.Julie Willems Van Dijk, PhD, RN, former Marathon County, WI Health Officer

Suggested citation: University of Wisconsin Population Health Institute. County Health Rankings 2010.


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(608) 265-6370 / [email protected]

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